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Amazon's Annual Outbound Shipping Expenditure in Millions correlates with...
Variable | Correlation | Years | Has img? |
The number of Breweries in the United States | r=1 | 11yrs | No |
Popularity of the first name Ellis | r=1 | 11yrs | No |
Natural cheese consumption | r=0.99 | 11yrs | No |
Popularity of the first name Greyson | r=0.98 | 11yrs | No |
Google searches for 'cat memes' | r=0.98 | 11yrs | No |
Google searches for 'smol' | r=0.97 | 11yrs | No |
Global revenue of Samsonite | r=0.97 | 10yrs | No |
Amazon.com's stock price (AMZN) | r=0.96 | 11yrs | No |
Popularity of the 'loss' meme | r=0.96 | 10yrs | No |
Google searches for 'cute cats' | r=0.95 | 11yrs | Yes! |
Annual comic book sales in North America | r=0.94 | 11yrs | No |
Popularity of the 'we live in a society' meme | r=0.93 | 11yrs | No |
The number of private detectives in Delaware | r=0.92 | 11yrs | Yes! |
Google searches for 'President phone number' | r=0.87 | 11yrs | No |
Boston Celtics' annual draft pick count | r=0.85 | 11yrs | No |
Google searches for 'who is donald trump' | r=0.83 | 11yrs | No |
Air quality in Ogden, Utah | r=0.81 | 11yrs | Yes! |
Amazon's Annual Outbound Shipping Expenditure in Millions also correlates with...
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You caught me! While it would be intuitive to sort only by "correlation," I have a big, weird database. If I sort only by correlation, often all the top results are from some one or two very large datasets (like the weather or labor statistics), and it overwhelms the page.
I can't show you *all* the correlations, because my database would get too large and this page would take a very long time to load. Instead I opt to show you a subset, and I sort them by a magic system score. It starts with the correlation, but penalizes variables that repeat from the same dataset. (It also gives a bonus to variables I happen to find interesting.)